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检索条件"任意字段=3rd IEEE Intelligent Data Acquisition and Advanced Computing Systems"

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Interactive dynamical visualization of big data arrays in grid

Interactive dynamical visualization of big data arrays in gr...

引用

ieee International Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications

作者： Yuriy O. Koval Hlib O. Mendrul Andrii O. Salnikov Ievgen A. Sliusar Olexandr O. Sudakov Faculty of Radiophysics Electronics and Computer Systems Kyiv National Taras Shevchenko University Kyiv Ukraine

Grid service and web interface for dynamical interactive 3D visualization of big data arrays is proposed, implemented and tested. The main requirement of system design is low latency and traffic reduction during data transfer. Distributed grid service is based on Hadoop Map-Reduce implementation. Web interface is implemented using *** WebGL library. Visualizing of non-linear dynamics simulation results for 3D Kuramoto-Sakaguchi model proved efficiency of proposed approach. Prototype of described system is implemented in Ukrainian National Grid infrastructure.

关键词： data visualization Three-dimensional displays Simulation Oscillators Browsers Conferences Arrays

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3D face data acquisition and modelling based on an RGBD camera matrix

3D face data acquisition and modelling based on an RGBD came...

引用

ieee International Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications

作者： Jacek Naruniec Marek Kowalski Michał Daniluk Warsaw University of Technology Warsaw

This paper describes a novel system for building morphable 3D head models. In contrast to most of the previous approaches that need several seconds to capture each scan, we acquire the data using a matrix of calibrated RGBD cameras, enabling real time face scanning. We localize the face and it's 68 characteristic points on an orthogonal projection image, and use the detected points to align multiple scans. We use a Delaunay triangulation of the 68 characteristic points to obtain dense head shapes with point to point correspondence across all 3D head shapes. In the last step we create a morphable model in a way that is similar to the original procedure by Blanz and Vetter. We demonstrate the functionality of our model, created on just five people, in a real-time application. The novelty of this article lies mostly in the method of defining correspondences of the characteristic points in 3D, that leads to a realistic three-dimensional model and blendshapes.

关键词： Face Three-dimensional displays Shape Solid modeling Cameras Sensors

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Improved multi-camera 3D Eye Tracking for human-computer interface

Improved multi-camera 3D Eye Tracking for human-computer int...

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ieee International Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications

作者： Stanislav Panev Agata Manolova Faculty of Telecommunications Technical University of Sofia Sofia Bulgaria

A human being accumulates the majority of the surrounding impressions through vision. With the ability to track and observe a user's gaze, it is possible to obtain deep insights into the person's attention and, based on the gathered information, understand his or hers behavior and actions. In this paper we present an improved Multi-Camera 3D Eye Tracking framework for human-computer interface based on an algorithm that provides automated control of a Pan-Tilt camera (PTC) to follow a person's eye. We employ a fixed 3D wide-angle depth sensor (Kinect) in order to determine the position of the human face and its features, most importantly the eyes. By means of the supervised descent method (SDM), we compute correctly the position of the two eyes using 6 landmarks for each eye and the position of the head. Then, an active pan-tilt camera is oriented to one of the users' eyes, and in this way, a high-precision eye tracking is accomplished.

关键词： Cameras Face Estimation Gaze tracking Calibration Three-dimensional displays

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A cloud computing based mobile healthcare service system

A cloud computing based mobile healthcare service system

引用

ieee International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

作者： Gao Zhiqiang He Lingsong Tian Hang Ling Cong School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

The promising potential of cloud computing and its convergence with technologies such as cloud storage, cloud push, mobile computing leads to new developments for divers application domains, which provides a strong technical support for remote healthcare service as well. Experts and researchers believe that cloud computing technology can greatly improve the level of healthcare services. Currently, many experts have done fruitful research in this domain. This paper presents a cloud computing based remote healthcare service system. This system mainly consists of three parts: Portable medical devices, intelligent terminals (phones, tablets, etc.), cloud services platform. Portable medical acquisition devices transmit physiological signal to the intelligent terminal via wireless way (Bluetooth/WiFi). Monitoring software in smart terminal responses for data display, storage, and push the measurement results to the cloud service platform. Cloud services platform is a special website developed using cloud server, cloud storage and cloud push technology, which is the core of the whole system. Users can view and maintain their health data record anytime and anywhere only need an Internet equipment. Physicians can view their patient's health status through the same way. If necessary, the doctor can also push the diagnosis to patients and their families' smart phone, so related people can get the diagnosis result at the first time. On the smart terminal, a virtual instrument browser is proposed which can dynamically load virtual instrument page programs and can turn them into executable virtual instrument applications, which can break through the install limitation of measurement application, to avoid installing many applications on the phone.

关键词： Cloud computing Decision support systems Medical services Instruments Handheld computers Medical diagnostic imaging Convergence

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RESEARCH AND DESIGN OF intelligent NAVIGATION data PLATFORM 3

RESEARCH AND DESIGN OF INTELLIGENT NAVIGATION DATA PLATFORM

引用

3rd ieee International Conference on Cloud computing and Intelligence systems (CCIS)

作者： Shen, Yiming Wu, Yu Wan, Rui Guangdong Televehicle Informat Technol Serv Co Lt Guangzhou Guandong Peoples R China

ISBN: (纸本)9781479947195

After studying the structure and model of existing navigation map data, this paper presented a design scheme of intelligent navigation data platform. It described the data model and data organization which was used by data platform, and designed conceptual model, logical model, physical model in detail. This paper achieved the construction of intelligent navigation data platform and provided strong support for various applications of telematics and intelligent tourism.

关键词： intelligent navigation data Platform Spatial data

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A Control Method of Ubiquitous Computers Using the Rete Algorithm in Grid Topology Network 3

A Control Method of Ubiquitous Computers Using the Rete Algo...

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3rd ieee Global Conference on Consumer Electronics (GCCE)

作者： Kawakami, Tomoya Yoshihisa, Tomoki Tsukamoto, Masahiko Osaka Univ Cybermedia Ctr Osaka Japan Kobe Univ Grad Sch Engn Kobe Hyogo Japan

ISBN: (纸本)9781479951468

In this paper, we propose a control method of ubiquitous computers using the Rete algorithm in grid topology network. The proposed method distributes and reduces the loads for processing rules and collecting data based on the Rete algorithm. We evaluated the proposed method and confirmed that the proposed method reduces the network traffic as loads.

关键词： data acquisition grid computing knowledge based systems pattern matching ubiquitous computing Rete algorithm data collection grid topology network load distribution load reduction network traffic reduction processing rules ubiquitous computers Actuators Educational institutions Network topology Production systems Sensors Topology Ubiquitous computing

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PARALLELIZATION OF ONTOLOGY CONSTRUCTION AND FUSION BASED ON MAPREDUCE 3

PARALLELIZATION OF ONTOLOGY CONSTRUCTION AND FUSION BASED ON...

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3rd ieee International Conference on Cloud computing and Intelligence systems (CCIS)

作者： Zhang, Qian Wu, Bin Yang, Juan Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing 100876 Peoples R China

ISBN: (纸本)9781479947195

As a data integration technology, ontology has been widely used in the knowledge systems and domain knowledge representation. An ontology construction and fusion technology for large-scale data is very important. In this paper, we propose a parallel ontology construction and fusion approach adapted to MapReduce framework based on the traditional ontology technology and MapReduce. The method separates the ontology model building process from the repeated calculation processes, and realizes the massive data integration. The evaluations tested on scientific literature data show the feasibility and efficiency of our approach.

关键词： Information fusion Ontology MapReduce Parallelization

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A Prototype Implementation of Log acquisition in Private Cloud Environment 3

A Prototype Implementation of Log Acquisition in Private Clo...

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3rd International Conference on Eco-Friendly computing and Communication systems (ICECCS)

作者： Mishra, Anand Kumar Pilli, Emmanuel S. Govil, M. C. Malaviya Natl Inst Technol Dept Comp Sci & Engn Jaipur Rajasthan India

ISBN: (纸本)9781479970025

When attackers try to gain access to cloud infrastructure, platform, or service, cloud forensics must be performed to find out that who is behind the attack. To perform forensics in cloud environment, we need to identify and to analyze potential evidences, network traffic, registry, web browser history. Log acquisition is the process to collect log from available sources such as operating system logs, virtual machine logs, and service provider logs. Each log file contains many pieces of information that can be invaluable if you know how to read them, and how to analyze data from a perimeter defense view point to identify scans, intrusion attempts, misconfigured equipment, and other noteworthy items. In this paper, we have implemented a dashboard to observe log files which can be used as monitoring, compliance and audit, and an improvement in defense mechanism for a private cloud environment using Eucalyptus. These log files are collected and stored in database, and monitored as well. At last, we present research challenges in data acquisition for cloud computing environment.

关键词： Cloud forensics digital forensics log acquisition Eucalyptus

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IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAYER COLOR 3

IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAY...

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3rd ieee International Conference on Cloud computing and Intelligence systems (CCIS)

作者： Chen, Tian Yi, Xin Shen, Dandan Ren, Fuji Wang, Wei Yang, Bingdong Hefei Univ Technol Anhui Prov Key Lab Affect Comp & Adv Intelligent Hefei 230009 Anhui Peoples R China Hefei Univ Technol Sch Comp & Informat Hefei 230009 Anhui Peoples R China Univ Tokushima Tokushima 7708506 Japan

ISBN: (纸本)9781479947195

This paper put forwards a new single image restoration method which is self-adaptive to the dielectric layer color. This method is used to solve the problem that existing single image visibility restoration method has limited adaptability for dielectric layer color in image acquisition environment. Thus, the method can remove influence caused by propagation medium layer from input image, realizing visibility restoration of the input image. Experiments show hazy image restoration method proposed by this paper has better adaption ability for dielectric layer color and recover an image.

关键词： Image Restoration Self-Adaptive Dielectric Layer Color Defogging

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USING HYBRID NEURAL NETWORK TO ADDRESS CHINESE NAMED ENTITY RECOGNITION 3

USING HYBRID NEURAL NETWORK TO ADDRESS CHINESE NAMED ENTITY ...

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3rd ieee International Conference on Cloud computing and Intelligence systems (CCIS)

作者： Wang, Guoyu Cai, Yongquan Ge, Fujiang Beijing Univ Technol Beijing Peoples R China Cloud Big Data & Intelligent Comp Lab Lenovo Peoples R China

ISBN: (纸本)9781479947195

Many machine learning methods have been applied on Named Entity Recognition (NER). Such methods generally build on a large manually-annotated training set. However, the training set is usually limited as human labeling is costly and time consuming. Compare to the training set, the unlabeled corpus is usually much bigger and contains rich information about language. In this paper, a hybrid Deep Neural Network (DNN) is proposed to take advantage of the implicit information embedded in the un-labeled corpus. The experiments show that F1-score is improved from 85% to 90% (person name), from 75% to 81% (location name), and from 74% to 78% (organization name), compared with Conditional Random Fields (CRFs).

关键词： Chinese Named Entity Recognition Deep Neural Network multi-logistic regression Conditional Random Fields

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